Document detection calibration sweep results

2026-07-07 02:22:59 +02:00
parent e8cd463cab
commit f9cdb6c334
2 changed files with 16 additions and 2 deletions
@@ -12,6 +12,7 @@
 - Added `scripts/run_detection_calibration_sweep.sh` to run the existing real-data detection + QA workflow across multiple configured-YOLO confidence thresholds.
 - The sweep writes per-threshold logs and a `calibration_summary.json` with persisted detection count, QA score, precision, recall, F1, mean IoU, matches, false positives and false negatives.
 - Added readiness syntax coverage and static regression coverage for the calibration sweep contract.
+- Ran the sweep on Tower against the Geel operator sample; threshold `0.15` ranked best among `0.50`, `0.35`, `0.25` and `0.15`, but recall remained below 1%, confirming the next problem is model/data calibration rather than runtime availability.
 - No new model dependencies, provider fetching, fake detections, API contracts or product UI behavior were introduced.

 ## Sprint 123 YOLO class and tile CRS normalization (2026-07-07)